IMAGE
Figure2_barplot_cluster 1_without-labels.png (140.57 kB)
IMAGE
Figure2_boxplot_cluster 1_labels-90.png (582.06 kB)
IMAGE
Figure3_baplot_cluster2-without-labels.png (123.77 kB)
IMAGE
Figure3_boxplot_cluster 2_labels.png (587.17 kB)
IMAGE
Figure3_cluster2_pie-chart.png (420.15 kB)
IMAGE
Figure4__global_matrix.png (529.31 kB)
IMAGE
supplementary_b.png (64.95 kB)
IMAGE
supplementary_c.png (68.34 kB)
IMAGE
supplementary_d.png (55.02 kB)
IMAGE
supplementary_e.png (87.2 kB)
IMAGE
supplementary_f.png (83.94 kB)
IMAGE
Figure1, e&f_overall_finance.png (66.53 kB)
IMAGE
Figure1-a_overal-sectors.png (139.43 kB)
JUPYTER
Paper 2_codes.ipynb (7.03 MB)
DATASET
06102020_2019_original_Citywide_Emission_Reduction_Actions.xlsx (1.36 MB)
DATASET
2020_-_Cities_Disclosing_to_CDP.csv (109.81 kB)
DATASET
world_cities.xlsx (6.81 kB)
1/0
Data for "Reimagining climate networking between cities: clustering cities based on a large dataset of mitigation actions"
dataset
posted on 2022-06-22, 05:32 authored by Sombol MokhlesPython scripts, generated figures, and CDP open dataset on cities' mitigation actions in 2019 ( accessed on 6th Oct-2020) for a paper that runs multiple pre-processing, feature engineering steps to undertake two clustering approaches based on cities' nature of actions and finance.
